{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** **extraerá** los datos para **cada campo** de los **parámetros query** en el request y te proporcionará el modelo de Pydantic que definiste.

## Revisa la Documentación

Puedes ver los parámetros query en la UI de documentación en `/docs`:

<div class="screenshot">

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '
                      '"$http_user_agent" "$http_x_forwarded_for"';

    access_log  /var/log/nginx/access.log  main;
    sendfile        on;

#       ...
#       ./any.sh
#     or
#       export TF_ANY_EXTRA_ENV=ci/official/envs/local_rbe
#       ./any.sh
#       ...
set -exo pipefail
cd "$(dirname "$0")/../../"  # tensorflow/
# Any request that includes "nightly_upload" should just use the
# local multi-cache (public read-only cache + disk cache) instead.
export TFCI="$(echo $TFCI | sed 's/,nightly_upload/,public_cache,disk_cache/')"

		writeErrorResponseHeadersOnly(w, toAPIError(ctx, err))
		return
	}

	// s3zip does not allow ranges.
	w.Header().Del(xhttp.AcceptRanges)

	// Set any additional requested response headers.
	setHeadGetRespHeaders(w, r.Form)

	// Successful response.
	w.WriteHeader(http.StatusOK)
}

	}

	globalActiveCred = creds
	testCases := []struct {
		Request *http.Request
		ErrCode APIErrorCode
	}{
		{Request: mustNewRequest(http.MethodGet, "http://127.0.0.1:9000", 0, nil, t), ErrCode: ErrAccessDenied},
		{Request: mustNewSignedRequest(http.MethodGet, "http://127.0.0.1:9000", 0, nil, t), ErrCode: ErrNone},

                
                // Perform RPC registration
                WitnessRegisterRequest request = new WitnessRegisterRequest();
                request.setVersion(registration.getVersion().getValue());
                request.setShareName(shareName);
                request.setServerAddress(serverAddress.getHostAddress());
                request.setFlags(registration.getFlags());
                

                                    </div>
                                </div>
                                <c:set var="pager" value="${accessTokenPager}"
                                       scope="request"/>
                                <c:import url="/WEB-INF/view/common/admin/crud/pagination.jsp"/>
                                <c:if test="${pager.currentPageNumber > pager.allPageCount}">

          assertThat(dispatcherF.closed).isFalse() // Never started.
        }
      }
  }

  class ClosableDispatcher : Dispatcher() {
    var closed = false

    override fun dispatch(request: RecordedRequest) = MockResponse()

    override fun close() {
      closed = true
    }
  }

import org.apache.maven.artifact.repository.DefaultRepositoryRequest;
import org.apache.maven.artifact.repository.RepositoryRequest;
import org.apache.maven.artifact.resolver.ArtifactResolutionRequest;

/**
 * Forms a request to retrieve artifact metadata.
 *
 */
@Deprecated
public class DefaultMetadataResolutionRequest implements MetadataResolutionRequest {

    private Artifact artifact;

    private boolean resolveManagedVersions;

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the query parameters in the docs UI at `/docs`:

<div class="screenshot">